Skills: Windows 10 and/or OS X and MS Office applications

Internship Duration: 6 months

Internship timeline: May/June 2024

Responsibilities 

• Assist in working on Global Help Desk tickets and projects such as
• Documenting current and new processes within the Global Help Desk and BT Teams
• Configuring Windows and Mac hardware (laptops) for end-users.
• Assisting with new hire setups, hardware inventory updates, hardware disposal, etc.
• Other ad-hoc tasks related to our Global Help Desk team’s needs

Requirements for Global IT Help Desk Intern Job Opening at Guidewire:

• Pursuing final year or completed BS/BE/B.Tech in Computer Science Engineering
• Experience with Windows 10 and/or OS X and MS Office applications
• Zest to learn and ability to rapidly absorb new technologies
• Desire to work in a fast-paced environment
• Excellent verbal and written communication and interpersonal skills
• Collaborative work ethic and a team-player at heart
• Demonstrated agile, systematic problem-solving approach and skills
• Strong interpersonal skills, sense of ownership, and drive
• Position is onsite minimum of two days in office

Skills:  Java, C#, or C++

Internship Duration: 3 months

Internship timeline: Jan/Feb/March 2024 Intake

Responsibilities 

• You will be part of our Product Development team
• you will work with a dedicated mentor and other fellow interns on a software project
• Add value to our mission here at Guidewire while learning what it means to be a professional software engineer.

Requirements for Software Engineer Intern Job Opening at Guidewire:

• Current undergraduate student pursuing a BSc in Computer Science or related courses from a reputable higher education institution.
• Proficiency in programming languages such as Java, C#, or C++.
• Familiarity with object-oriented design principles.
• Exposure to the software development lifecycle, preferably in an Agile environment.
• Basic understanding of JavaScript is a plus.
• Enthusiastic about learning and collaborating within a team.
• Strong communication skills.

Skills: Git, Docker, Linux, Python

Responsibilities: 

• Explore ways to enhance our data science on modeling processes by exploring novel techniques the creation of models that help with our classification and computational problems
• Furthermore, expand our internet-scale data listening capabilities by implementing new data sources or extending core API functionality
• Moreover, contribute to our efforts to build out our MLOps capabilities and enhance our ability.
• To accelerate ML development and deliver reproducible, testable, and rapidly evolving capabilities to customers
• Additionally, you will be mentored by experienced data scientists and modelers and exposed to advanced ML techniques and approaches.
• Will have the opportunity to learn more about the exciting world of Cybersecurity and Cyber Risk quantification.
• Hence, shall be writing Python code, wrangling data from a range of sources and building models.

Important Info:

• Guidewire is offering a 3-month internship in the Guidewire Analytics team.
• Therefore, the internship is designed to give an opportunity to work in a real-world business environment, and to take responsibility for a specific data project that has the potential to provide real value to our customers.

Preferred Skills for Machine Learning Engineer Job Opening at Guidewire:

• Operational knowledge of Git, Docker, Linux.
• Strong understanding of various Transformer model architectures (decoder only, Encoder-Decoder, Encoder Only).
• Ability to discuss trade-offs and perform independent research
• Knowledge of Amazon AWS services such as EC2, EMR, S3, SageMaker, EKS.
• Python coding, in particular, data manipulation
• Ability to work independently on a project and as part of a team.
• Define, model, and solve real-world, ambitious, insurance problems using various data-driven approaches
• Design and implement tools and frameworks to be used across various machine learning and data science teams
• A strong desire to help build components of our Machine Learning platform that will be used by internal and external Guidewire customers.